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Benchmarks
Group Robustness on Amazon-WILDS (test)
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87.9
WG Accuracy
Contrast. Adapter
79.06
81.355
83.65
85.945
Jul 14, 2022
WG Accuracy
Average Accuracy
Accuracy Gap
Updated 4d ago
Evaluation Results
Method
Method
Links
WG Accuracy
Average Accuracy
Accuracy Gap
Contrast. Adapter
Backbone=GPT-Neo 1.3B,...
2022.07
87.9
92.6
4.7
ERM LP
Backbone=GPT-Neo 1.3B,...
2022.07
87.2
93.3
6.1
ERM Adapter
Backbone=GPT-Neo 1.3B,...
2022.07
87.2
93.6
6.4
WiSE-FT
Backbone=GPT-Neo 1.3B,...
2022.07
87.2
93.3
6.1
DFR (Sub)
Backbone=GPT-Neo 1.3B,...
2022.07
87.2
93.2
6
DFR (Up)
Backbone=GPT-Neo 1.3B,...
2022.07
85.4
92.7
7.3
Zero-shot
Backbone=GPT-Neo 1.3B,...
2022.07
79.4
86.7
7.3
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